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2nd International Conference on Information Management, Innovation Management and Industrial Engineering

作者： Tan, Hualing Yu, Kaichao Yin, Zhuling Kunming Univ Sci & Technol Fac Mech & Elect Engn Kunming 650093 Peoples R China

ISBN: (纸本)9780769538761

With the increasing intensification of the international and domestic market competition in automotive industry, the after-sales service has become a major profit source in the automotive industry. Repairs and maintenance are an important part in the after-sales service,it directly determines customers' satisfaction and loyalty, and the service station is the main bearer of this link. How to evaluate performance of the service station,and choose better service stations for vehicle manufacturers,and improve customers' satisfaction, has become a more valuable research topic. This paper, for the automotive aftermarket repair and maintenance services, has built a service station performance evaluation index system, and established a service station performance evaluation model by using topsis method based on entropy weight,and made the model instantiated. All of this provides a basis for vehicle manufacturers on selecting service stations.

关键词： after-sales service index performance evaluation service stations topsis algorithm

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Multi-criteria analysis of urban policy for sustainable development decision-making: A case study for Warsaw city, Poland 25

Multi-criteria analysis of urban policy for sustainable deve...

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25th KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES)

作者： Stachura, Paulina Kuligowska, Karolina Univ Warsaw Fac Econ Sci Dluga St 44-50 PL-00241 Warsaw Poland

In order to track how cities develop grow, multidimensional systems of urban development indicators taking into account the balance between economic, social, and environmental aspects are the best solution found so far. However, there is no unique measurement system that would be widely accepted and applied within various urban areas to verify whether a given city is developing in a sustainable way. The aim of this paper is to apply the topsis algorithm on the basis of selected urban indicators, in order to evaluate the progress of a single city towards the concept of sustainable development observed over a longer period of time. A capital city of Poland, Warsaw, faces several challenges associated with development policy evaluation, thus confirming the need for this research. We meticulously selected 48 indicators from the economic, social and environmental areas as an input for topsis algorithm, which allowed us to calculate a new proposed aggregated index for evaluating urban policy on the example of Warsaw. Research has shown usefulness of applied topsis algorithm in assessing the long-run development of an urban area towards the concept of a sustainable city. The results of our analysis indicated that over a period of ten years, during 2008-2017, the urban policy decision-making has been balancing the socio-economic and environmental aspects and the city of Warsaw has been developed in a sustainable manner. (C) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of KES International.

关键词： multi-criteria decision analysis sustainable urban development topsis algorithm urban sustainability indicators

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Wireless Network Parameters Optimization Method Based on Behavioral Learning 9

Wireless Network Parameters Optimization Method Based on Beh...

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9th International Conference on Computer and Communication Systems (ICCCS)

作者： Wang, Xi Fujian Co Ltd China Mobile Commun Grp Wireless Network Optimizat Ctr Fuzhou Peoples R China

ISBN: (纸本)9798350350227;9798350350210

To solve the problem of customer complaints caused by prolonged optimization cycles for Wireless Network Performance Degradation cells, a method based on multi-objective reinforcement learning for network parameter optimization operational behavioral learning is proposed. Firstly, behavioral data of experts engaged in network parameter optimization are collected and annotated with states. Subsequently, a comprehensive multi-objective network optimization model is developed that takes into account key performance indicators of network issue cells, other performance metrics, and the improvement levels of neighboring area performance indicators. Lastly, a multi-objective reinforcement learning approach is formulated using the topsis (Technique for Order of Preference by Similarity to Ideal Solution) method to construct a multi-objective reward function. This approach is combined with proximal policy optimization algorithms to realize the recommendation of wireless network optimization strategies. The goal is to enhance the efficiency of network parameter optimization and improve user perception of wireless network performance. To validate the feasibility and superiority of this approach, a comparative analysis is conducted against various alternative methods, including those based on expert experience, association rules, decision trees, and other deep reinforcement learning techniques such as Deterministic Policy Gradient (DDPG) and Deep Q-network (DQN). These methods are utilized to independently perform parameter optimization for the performance indicators of 1000 network issue cells. The results indicate that the parameter optimization scheme of this study achieves higher network issue resolution rates and greater improvement in cell performance indicators compared to other methods.

关键词： wireless network optimization reinforcement learning topsis algorithm proximal policy optimization

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A Novel QoS Routing Based on Vague Set in Wireless Communication Networks

A Novel QoS Routing Based on Vague Set in Wireless Communica...

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IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Liu, Xiaochen Zhu, Lei Wu, Xinrong Tong, Wei PLA Univ Sci & Technol Inst Commun Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781479919802

With the development of wireless communication technology, Internet users have higher requirements for QoS (Quality of Service) in wireless networks. The choice of feasible routing paths is inevitable in order to meet demand for services. As we know, in wireless environment the network status usually changes frequently and rapidly. hi this thesis, we propose a QoS routing algorithm based on Vague Set theory to eliminate the impact of this adverse factor. The experiment implemented in the end proves the effectiveness of our algorithm.

关键词： QoS routing wireless network Vague Set topsis algorithm

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Pressure performance improvement by dual-mode control in digital pump/motor

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Journal of Central South University 2020年第9期27卷 2628-2642页

作者： LI Chun-shuang WANG Xin QI Hai-bo LIU Xin-yu LIU Xin-hui School of Mechanical and Aerospace Engineering Jilin UniversityChangchun 130022China Department of Mechanical and Industrial Engineering University of TorontoToronto M5S 2E8Canada

Due to the advantages of low cost,fast response and pollution resistance,digital hydraulic pump/motor can replace conventional variable hydraulic pump/motor in many application ***,digital hydraulic components produce large hydraulic impact at variable moments,which will shorten the service life of mechanical *** the simulation analysis of the variable process of digital pump/motor,it is found that the discontinuous flow caused by displacement step changes is the fundamental cause of hydraulic *** data analysis results of experimental tests are in good agreement with the simulation analysis *** view of hydraulic secondary components,a variable control method based on dual-mode operating characteristics is *** topsis algorithm is used to give comprehensive evaluation of the displacement control results after this *** results show that the control quality of digital pump/motor after adopting the control method has been effectively improved,with an average improvement of about 40%.

关键词： digital hydraulic dual-mode operating characteristics AMESim simulation topsis algorithm

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Research on multi-objective optimization method for flow distribution of natural circulation reactor during its life-cycle

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ANNALS OF NUCLEAR ENERGY 2022年 176卷

作者： Zhu, Enping Chen, Qi Zhao, Pengcheng Zhao, Yanan Sun, Yumeng Liu, Zijing Yu, Tao Univ South China Sch Nucl Sci & Technol Hengyang 421001 Hunan Peoples R China Nucl Power Inst China Sci & Technol Reactor Syst Design Technol Lab Chengdu 610213 Sichuan Peoples R China

A reasonable flow distribution can flatten the temperature distribution at the core outlet and reduce the temperature fluctuation, improving the economy and safety of the reactor. Different from a forced circulation reactor, the flow distribution of a natural circulation reactor is automatically adjusted according to the relationship between the fuel assembly power and inlet resistance. In this work, first, a local optimal flow distribution calculation model is constructed based on the closed parallel multi-channel model. Second, a Multi-objective comprehensive evaluation based on the optimal time zone is proposed to find an optimal flow distribution scheme that satisfies multiple requirements during the entire life-cycle. Third, the flow distribution scheme of a small lead-bismuth fast reactor with long life and natural circulation (SPALLER-100) is studied. The Technique for Order Preference by Similarity to Ideal Solution (topsis) algorithm is chosen as the evaluation method with three evaluating indicators for calculation. Ultimately, the subchannel code is selected to verify the flow distribution scheme. The analysis results show that the scheme based on the power distribution of 3182 days performs the best. Compared with the scheme designed by the beginning of life (BOL), the maximum outlet temperature difference reduced by 30 K, the standard deviation of the maximum outlet temperature difference reduced by 41%, and maximum output power increased by 2.35%. The results are in good agreement with the SUBCHANFLOW code, and the maximum relative error is less than 4.5%. (C) 2022 Elsevier Ltd. All rights reserved.

关键词： Flow distribution Lead-bismuth cooled reactor Multi-objective optimization method topsis algorithm

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A Novel Model of Mimic Defense Based on Minimal L-Order Error Probability

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IEEE ACCESS 2020年 8卷 180481-180490页

作者： Chen, Guoxi Shi, Guang Chen, Liquan He, Xiaoyuan Jiang, Shengmao Southeast Univ Sch Automat Nanjing 210096 Peoples R China Southeast Univ Sch Cyber Sci & Engn Nanjing 211100 Peoples R China Purple Mt Labs Network & Commun Secur Nanjing 211111 Peoples R China

Mimic defense is an active defense theory, which aims to fundamentally change the "easy to attack and difficult to defend" situation of network security. In this paper, we propose an evaluation method based on the probability of being attack successfully, and improve the evaluation scheme of historical confidence. We combine the two evaluation schemes with the topsis (technique for order performance by similarity to ideal solution) algorithm, and finally form a complete heterogeneous variant dynamic scheduling model. Different from traditional multi-mode voting algorithms, the effect of the heterogeneous degree in voting is considered, and we use Bayesian estimation to obtain the optimal result in the probabilistic sense. Finally, simulation results show that the proposed algorithm can effectively enhance the dynamic and security of the mimic defense model, and give full play to the characteristics of mimic defense.

关键词： Heuristic algorithms Dynamic scheduling Security Redundancy Software algorithms Bayes methods Estimation Mimic defense heterogeneity dynamic scheduling topsis algorithm Bayesian estimation

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Multi-criteria analysis of urban policy for sustainable development decision-making: A case study for Warsaw city, Poland

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Procedia Computer Science 2021年 192卷 259-269页

作者： Paulina Stachura Karolina Kuligowska Faculty of Economic Sciences University of Warsaw Dluga St. 44/50 00-241 Warsaw Poland

In order to track how cities develop and grow, multidimensional systems of urban development indicators taking into account the balance between economic, social, and environmental aspects are the best solution found so far. However, there is no unique measurement system that would be widely accepted and applied within various urban areas to verify whether a given city is developing in a sustainable way. The aim of this paper is to apply the topsis algorithm on the basis of selected urban indicators, in order to evaluate the progress of a single city towards the concept of sustainable development observed over a longer period of time. A capital city of Poland, Warsaw, faces several challenges associated with development policy evaluation, thus confirming the need for this research. We meticulously selected 48 indicators from the economic, social and environmental areas as an input for topsis algorithm, which allowed us to calculate a new proposed aggregated index for evaluating urban policy on the example of Warsaw. Research has shown usefulness of applied topsis algorithm in assessing the long-run development of an urban area towards the concept of a sustainable city. The results of our analysis indicated that over a period of ten years, during 2008-2017, the urban policy decision-making has been balancing the socio-economic and environmental aspects and the city of Warsaw has been developed in a sustainable manner.

关键词： multi-criteria decision analysis sustainable urban development topsis algorithm urban sustainability indicators

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Credit decision of small and micro enterprises based on multidimensional scaling algorithm

Credit decision of small and micro enterprises based on mult...

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作者： Yuxi Zhang Yuning Liu Xuan Chu PLA Army Academy of Artillery and Air Defense College of Economics and Finance South China University of Technology Electromechanic Engineering College Northeast Forestry University

Small, medium and micro enterprises are an important force in my country's economic and social development. On the one hand, development creates regional GDP and on the other hand provides a large number of employment opportunities. At present, most of the small, medium and micro enterprises have their own imperfect development, and there are problems such as small business scale, irregular management, and information asymmetry. To avoid risks, commercial banks do not actively provide loans for small, medium and micro enterprises. Small, medium and micro enterprises have long faced financing difficulties. The problem. This article first uses data processing software to classify and summarize the credit data of 123 companies with credit records, establishes 10 quantitative indicators represented by reputation risk level and default risk level, and classifies and visualizes each impact indicator, to find out the correlation between the indicators. Furthermore, based on the analysis results of the indicators, a mathematical model of the multidimensional scaling algorithm among the 10 indicators is established, and the deep correlation classification of the indicators among the enterprises is analyzed.

关键词： small medium and micro enterprises visual analysis credit decision-making multidimensional scaling algorithm R-type clustering analysis topsis algorithm

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A Novel QoS Routing Based on Vague Set in Wireless Communication Networks

A Novel QoS Routing Based on Vague Set in Wireless Communica...

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： Xiaochen Liu Lei Zhu Xinrong Wu Wei Tong Institute of Communications Engineering PLA University of Science and Technology

ISBN: (纸本)9781479919819

With the development of wireless communication technology,Internet users have higher requirements for QoS(Quality of Service) in wireless *** choice of feasible routing paths is inevitable in order to meet demand for *** we know,in wireless environment the network status usually changes frequently and *** this thesis,we propose a QoS routing algorithm based on Vague Set theory to eliminate the impact of this adverse *** experiment implemented in the end proves the effectiveness of our algorithm.

关键词： QoS routing wireless network Vague Set topsis algorithm

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